Mitigating Bias in Algorithmic Systems—A Fish-eye View

Evaluation metrics for measuring bias in search engine results

(2021) Gizem Gezici et al.   Information Retrieval Journal

Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and unfairness within data management and analytics systems

(2021) Agathe Balayn et al.   VLDB JOURNAL

A Survey on Bias and Fairness in Machine Learning

(2021) Ninareh Mehrabi et al.   ACM COMPUTING SURVEYS

The effects of controllability and explainability in a social recommender system

(2020) Chun-Hua Tsai et al.   USER MODELING AND USER-ADAPTED INTERACTION

Rank aggregation algorithms for fair consensus

(2020) Caitlin Kuhlman et al.   Proceedings of the VLDB Endowment

MMALFM

(2019) Zhiyong Cheng et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

Demographic differences in search engine use with implications for cohort selection

(2019) Elad Yom-Tov   Information Retrieval Journal

An algorithm for removing sensitive information: Application to race-independent recidivism prediction

(2019) James E. Johndrow et al.   Annals of Applied Statistics

There’s a creepy guy on the other end at Google!: engaging middle school students in a drawing activity to elicit their mental models of Google

(2017) Christie Kodama et al.   Information Retrieval Journal

Statistical biases in Information Retrieval metrics for recommender systems

(2017) Alejandro Bellogín et al.   Information Retrieval Journal

A systematic review and taxonomy of explanations in decision support and recommender systems

(2017) Ingrid Nunes et al.   USER MODELING AND USER-ADAPTED INTERACTION

There’s a creepy guy on the other end at Google!: engaging middle school students in a drawing activity to elicit their mental models of Google

(2017) Christie Kodama et al.   Information Retrieval Journal

Statistical biases in Information Retrieval metrics for recommender systems

(2017) Alejandro Bellogín et al.   Information Retrieval Journal

A Taxonomy for Generating Explanations in Recommender Systems

(2017) Gerhard Friedrich et al.   AI MAGAZINE

Belief Dynamics and Biases in Web Search

(2015) Ryen W. White et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

A peek into the black box: exploring classifiers by randomization

(2014) Andreas Henelius et al.   DATA MINING AND KNOWLEDGE DISCOVERY

The Computerized Adaptive Diagnostic Test for Major Depressive Disorder (CAD-MDD)

(2013) Robert D. Gibbons et al.   JOURNAL OF CLINICAL PSYCHIATRY

A multidisciplinary survey on discrimination analysis

(2013) Andrea Romei et al.   KNOWLEDGE ENGINEERING REVIEW

Exploring Question Selection Bias to Identify Experts and Potential Experts in Community Question Answering

(2012) Aditya Pal et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

Performance of classification models from a user perspective

(2011) David Martens et al.   DECISION SUPPORT SYSTEMS

Three naive Bayes approaches for discrimination-free classification

(2010) Toon Calders et al.   DATA MINING AND KNOWLEDGE DISCOVERY